Perception-Inspired Graph Convolution for Music Understanding Tasks | Towards Data Science
This article discusses MusGConv, a perception-inspired graph convolution block for symbolic musical applications.
- computational musicology
- graph neural networks
- music analysis
- musicinformationretrieval
- thoughts and theory
Source: Towards Data Science
This article discusses MusGConv, a perception-inspired graph convolution block for symbolic musical applications.